Two-class freeway traffic regulation to reduce congestion and emissions via nonlinear optimal control

Pasquale, Cecilia; Papamichail, Ioannis; Roncoli, Claudio; Sacone, Simona; Siri, Silvia; Papageorgiou, Markos

doi:10.1016/j.trc.2015.01.013

Cited by 71 publications

(23 citation statements)

References 29 publications

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“…For example, Csikós et al (2011) present a multi-objective optimization based on a constrained LQ (Linear-Quadratic) control, minimizing both T T S and traffic emissions on freeways. Pasquale et al (2015) formulate the ramp metering control problem as a multi-objective nonlinear constrained optimization problem considering the same objective function. These metrics are calculated considering both the traffic in the on-ramp and in the mainstream.…”

Section: Traffic Lights Controlmentioning

confidence: 99%

Ecological traffic management: A review of the modeling and control strategies for improving environmental sustainability of road transportation

Othman

Nunzio

Domenico

et al. 2019

Annual Reviews in Control

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As road transportation energy use and environmental impact are globally rising at an alarming pace, authorities seek in research and technological advancement innovative solutions to increase road traffic sustainability. The unclear and partial correlation between road congestion and environmental impact is promoting new research directions in traffic management. This paper aims to review the existing modeling approaches to accurately represent traffic behavior and the associated energy consumption and pollutant emissions. The review then covers the transportation problems and control strategies that address directly environmental performance criteria, especially in urban networks. A discussion on the advantages of the different methods and on the future outlook for the eco-traffic management completes the proposed survey.

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Section: Traffic Lights Controlmentioning

confidence: 99%

Ecological traffic management: A review of the modeling and control strategies for improving environmental sustainability of road transportation

Othman

Nunzio

Domenico

et al. 2019

Annual Reviews in Control

View full text Add to dashboard Cite

show abstract

“…Bando et al (1995) and Zhao et al (2005) simulated the occurrence and transmission of traffic congestion based on improvements to the typical traffic dynamics model. Pasquale et al (2015) and Hoshino et al (2011) explored methods to control and relieve traffic congestion. Horvitz et al (2012) and Wang et al (2015) attempted to use models to predict traffic flow and traffic congestion in certain areas.…”

Section: Traffic Flow and Congestionmentioning

confidence: 99%

The Effect of New Energy Vehicle Policies on Traffic Congestion: Evidence from Beijing

Sun

Jin³

2018

BMR

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This paper systematically summarizes Beijing’s new energy vehicle (NEV) policies (including lottery policy and driving-restriction policy) and investigates their impacts on traffic congestion. We propose that although the current NEV policies might alleviate air pollution by reducing exhaust emission, they could worsen Beijing’s traffic condition by increasing congestion probability. We suggest that the lottery policy increases the proportion of NEVs in the total number of newly-added vehicles. Moreover, as the NEVs are not subjected to driving-restriction policy, the number of vehicles travelling on the road will increase and the average velocity will decrease. Hence, traffic congestion is more likely to happen. By adopting general traffic flow model and TTI congestion probability model, empirical findings based on Beijing’s traffic data show that the higher the proportion of newly added NEV is, the larger the congestion probability will be, which support our proposition. In addition, we also simulate NEV policies with different settings (% of NEVs and the degree of driving restrictions). Finally, policy implications and future research directions are also discussed.

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“…Their objective functions include a weighted sum of total travel time and emissions. Also for ramp metering with both minimizing travel time and emission as the goal, a recent study by Pasquale et al (2015) developed a optimal control method considering explicitly cars and trucks, where specific control actions for each vehicle class are sought, The effectiveness of the method is demonstrated via simulation analysis. To combine VSL with ramp metering, Groot et al (2013) proposed a MPC based method using a Piecewise-Affine Approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Traffic control for air quality management and congestion mitigation in complex urban vehicular tunnels

Tan

Gao

2015

Transportation Research Part C: Emerging Technologies

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Two-class freeway traffic regulation to reduce congestion and emissions via nonlinear optimal control

Cited by 71 publications

References 29 publications

Ecological traffic management: A review of the modeling and control strategies for improving environmental sustainability of road transportation

Ecological traffic management: A review of the modeling and control strategies for improving environmental sustainability of road transportation

The Effect of New Energy Vehicle Policies on Traffic Congestion: Evidence from Beijing

Traffic control for air quality management and congestion mitigation in complex urban vehicular tunnels

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